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Self-adaptive exploration in evolutionary search | Marc Toussaint
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5 Feb 2001 | Subject: | Biological Physics; Adaptation and Self-Organizing Systems; Neural and Evolutionary Computing | physics.bio-ph cs.NE nlin.AO q-bio | Abstract: | We address a primary question of computational as well as biological research on evolution: How can an exploration strategy adapt in such a way as to exploit the information gained about the problem at hand? We first introduce an integrated formalism of evolutionary search which provides a unified view on different specific approaches. On this basis we discuss the implications of indirect modeling (via a ``genotype-phenotype mapping’’) on the exploration strategy. Notions such as modularity, pleiotropy and functional phenotypic complex are discussed as implications. Then, rigorously reflecting the notion of self-adaptability, we introduce a new definition that captures self-adaptability of exploration: different genotypes that map to the same phenotype may represent (also topologically) different exploration strategies; self-adaptability requires a variation of exploration strategies along such a ``neutral space’’. By this definition, the concept of neutrality becomes a central concern of this paper. Finally, we present examples of these concepts: For a specific grammar-type encoding, we observe a large variability of exploration strategies for a fixed phenotype, and a self-adaptive drift towards short representations with highly structured exploration strategy that matches the ``problem’s structure’’. | Source: | arXiv, physics/0102009 | Other source: | [GID 1007205] physics/0102009 | Services: | Forum | Review | PDF | Favorites |
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